A lightweight wrapper to CoolProp's low-level interface.
Project description
CoolPropX
CoolPropX is a thin wrapper around the CoolProp fluid property library that provides easy access to its low-level interface
🔗 Docs: turbo-sim.github.io/coolpropx
📦 PyPI: pypi.org/project/coolpropx
Note: This project is developed independently and is not affiliated with or endorsed by the CoolProp project.
Key features
- Compute and plot phase envelopes and spinodal lines for pure fluids.
- Evaluate thermodynamic properties from the Helmholtz energy equation of state, including metastable states inside the two-phase region.
- Perform flash calculations for any input pair with a custom solver with user-defined initial guesses
- Accessing structured property dictionaries and immutable
FluidStateobjects - Evaluate properties over arrays of input conditions for efficient parametric studies and plotting.
Installation
pip install coolpropx
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file coolpropx-0.2.20.tar.gz.
File metadata
- Download URL: coolpropx-0.2.20.tar.gz
- Upload date:
- Size: 50.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.11 Linux/6.11.0-1018-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ab5cdc1ce1253998247251596905d8dc8afa6d27ca227253aca0a93bfd18a7a
|
|
| MD5 |
72159faed94f6f354222b09ba14fbc6c
|
|
| BLAKE2b-256 |
ce47d6ced1464778fd8000d1e18bdd4fe5c8f37352066a3e01f5a4e1876da690
|
File details
Details for the file coolpropx-0.2.20-py3-none-any.whl.
File metadata
- Download URL: coolpropx-0.2.20-py3-none-any.whl
- Upload date:
- Size: 54.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.8.2 CPython/3.12.11 Linux/6.11.0-1018-azure
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
06cd015c95ed6a04d7433da3a82291d031e5c91ecd24ed53e6695f6fb1787cfe
|
|
| MD5 |
fca3cc67e3ddfda7af39c2c03f55a51d
|
|
| BLAKE2b-256 |
fb870d940c237a6247827ed6cbe497846c39ad9e3859fe0a294948c360c9b3d7
|
